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A Survey on Super-Resolution Methods for Image Reconstruction

by Elham Karimi, Kaveh Kangarloo, Shahram Javadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 3
Year of Publication: 2014
Authors: Elham Karimi, Kaveh Kangarloo, Shahram Javadi
10.5120/15557-4300

Elham Karimi, Kaveh Kangarloo, Shahram Javadi . A Survey on Super-Resolution Methods for Image Reconstruction. International Journal of Computer Applications. 90, 3 ( March 2014), 32-39. DOI=10.5120/15557-4300

@article{ 10.5120/15557-4300,
author = { Elham Karimi, Kaveh Kangarloo, Shahram Javadi },
title = { A Survey on Super-Resolution Methods for Image Reconstruction },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number3/15557-4300/ },
doi = { 10.5120/15557-4300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:10:08.762109+05:30
%A Elham Karimi
%A Kaveh Kangarloo
%A Shahram Javadi
%T A Survey on Super-Resolution Methods for Image Reconstruction
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 3
%P 32-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, in many applications of Machine vision, image Super-Resolution is preferred. Super-Resolution is estimation of a high-resolution image from an image or several low resolution images. Popular techniques in the field of enhancing images can be used to remove noise or blurring. In this paper, an overview of super resolution methods has been presented. Types of resolution methods have been used so far can be divided into three groups as frequency-domain methods, spatial domain methods and techniques can be classified as the wavelet domain. Super-resolution methods in different domains have different characteristics and comparison between these methods is usually done using a special index in one domain. In this paper, we will introduce these indexes and review best techniques used in all three domains.

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Index Terms

Computer Science
Information Sciences

Keywords

super-resolution noise elimination blurring frequency-domain spatial domain wavelet domain.

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